Searched for: author%3A%22Halma%2C+A.H.R.%22
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Bouma, H. (author), Burghouts, G.J. (author), de Penning, H.L.H. (author), Hanckmann, P. (author), ten Hove, R.J.M. (author), Korzec, S. (author), Kruithof, M.C. (author), Landsmeer, S. (author), van Leeuwen, C.J. (author), van den Broek, S.P. (author), Halma, A.H.R. (author), den Hollander, R.J.M. (author), Schutte, K. (author)
Ground surveillance is normally performed by human assets, since it requires visual intelligence. However, especially for military operations, this can be dangerous and is very resource intensive. Therefore, unmanned autonomous visual-intelligence systems are desired. In this paper, we present an improved system that can recognize actions of a...
conference paper 2013
Bouma, H. (author), Raaijmakers, S.A. (author), Halma, A.H.R. (author), Wedemeijer, H. (author)
Many threats in the real world can be related to activity of persons on the internet. Internet surveillance aims to predict and prevent attacks and to assist in finding suspects based on information from the web. However, the amount of data on the internet rapidly increases and it is time consuming to monitor many websites. In this paper, we...
conference paper 2012
Halma, A.H.R. (author), ter Haar, F.B. (author), Bovenkamp, E.G.P. (author), Eendebak, P.T. (author), van Eekeren, A.W.M. (author), TNO Defensie en Veiligheid TNO Industrie en Techniek (author)
A robust and efficient method is presented for recognizing objects in unstructured 3D point clouds acquired from photos. The method first finds the locations of target objects using single spin image matching and then retrieves the orientation and quality of the match using the iterative closest point (ICP) algorithm. In contrast to classic use...
conference paper 2010